| Title | On the Strategy and Behavior of Bitcoin Mining with N-attackers |
| Publication Type | Conference Paper |
| Year of Publication | 2018 |
| Authors | Liu, Hanqing, Ruan, Na, Du, Rongtian, Jia, Weijia |
| Conference Name | Proceedings of the 2018 on Asia Conference on Computer and Communications Security |
| Publisher | ACM |
| Conference Location | New York, NY, USA |
| ISBN Number | 978-1-4503-5576-6 |
| Keywords | bitcoin, bitcoin security, Human Behavior, mining, n-attackers, pubcrawl, Scalability, selfish mining |
| Abstract | Selfish mining is a well-known mining attack strategy discovered by Eyal and Sirer in 2014. After that, the attackers' strategy has been further discussed by many other works, which analyze the strategy and behavior of a single attacker. The extension of the strategy research is greatly restricted by the assumption that there is only one attacker in the blockchain network, since, in many cases, a proof of work blockchain has multiple attackers. The attackers can be independent of others instead of sharing information and attacking the blockchain as a whole. In this paper, we will establish a new model to analyze the miners' behavior in a proof of work blockchain with multiple attackers. Based on our model, we extend the attackers' strategy by proposing a new strategy set publish-n. Meanwhile, we will also review other attacking strategies such as selfish mining and stubborn mining in our model to explore whether these strategies work or not when there are multiple attackers. The performances of different strategies are compared using relative stale block rate of the attackers. In a proof of work blockchain model with two attackers, strategy publish-n can beat selfish mining by up to 26.3%. |
| URL | http://doi.acm.org/10.1145/3196494.3196512 |
| DOI | 10.1145/3196494.3196512 |
| Citation Key | liu_strategy_2018 |
On the Strategy and Behavior of Bitcoin Mining with N-attackers